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Context-based and human-centred information fusion in diagnostics

机译：诊断中基于上下文和以人为中心的信息融合

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Abstract: Maintenance management and engineering practice has progressed to adopt approaches which aim to reach maintenance decisions not by means of pre-specified plans and recommendations but increasingly on the basis of best contextually relevant available information and knowledge, all considered against stated objectives. Different methods for automating event detection, diagnostics and prognostics have been proposed, which may achieve very high performance when appropriately adapted and tuned to serve the needs of well defined tasks. However, the scope of such solutions is often narrow and without a mechanism to include human contributed intervention and knowledge contribution. This paper presents a conceptual framework of integrating automated detection and diagnostics and human contributed knowledge in a single architecture. This is instantiated by an e-maintenance platform comprising tools for both lower level information fusion as well as for handling higher level knowledge. Well structured maintenance relationships, such as those present in a typical FMECA study, as well as on the job human contributed compact knowledge are exploited to this end. A case study presenting the actual workflow of the process in an industrial setting is employed to pilot test the approach.
机译：摘要：维护管理和工程实践已经采取了一些旨在不通过预先计划和建议的方式来做出维护决策的方法，而是越来越多地基于与上下文相关的最佳可用信息和知识来制定维护决策，所有这些都与既定目标相对。已经提出了用于事件检测，诊断和预测的自动化的不同方法，当适当地调整和调整它们以满足明确定义的任务的需求时，它们可以实现非常高的性能。但是，此类解决方案的范围通常很狭窄，并且没有一种机制来包括人为干预和知识贡献。本文提出了一个概念框架，将自动检测和诊断以及人类贡献的知识集成在一个体系结构中。这是由一个电子维护平台实例化的，该平台包括用于较低级别信息融合以及用于处理较高级别知识的工具。为此目的，利用了结构合理的维护关系，例如在典型的FMECA研究中存在的维护关系，以及在工作中人为贡献的紧凑知识。案例研究介绍了工业环境中流程的实际工作流程，以对该方法进行试点测试。

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